Personalized medicine, such as customized fetal growth assessment and cervical length evaluation
Identification of genomics-based biomarkers for fetal death, preeclampsia, fetal growth restriction, and spontaneous preterm delivery
Analytical methods for genomics data analysis and interpretation, such as for pathway and gene set analysis
Machine learning and crowdsourcing with multi-omics data to develop robust multi-marker models
Single-cell genomics for disease prediction and spatial reconstruction of tissues
Gudicha DW, Romero R, Kabiri D, Hernandez-Andrade E, Pacora P, Erez O, Kusanovic JP, Jung E, Paredes C, Berry SM, Yeo L, Hassan SS, Hsu CD, Tarca AL. Personalized assessment of cervical length improves prediction of spontaneous preterm birth: a standard and a percentile calculator. Am J Obstet Gynecol. 2020 Sep 9:S0002-9378(20)31059-0.
Tarca AL, Romero R, Xu Z, Gomez-Lopez N, Erez O, Hsu CD, Hassan SS, Carey VJ. Targeted expression profiling by RNA-Seq improves detection of cellular dynamics during pregnancy and identifies a role for T cells in term parturition. Sci Rep; Sci Rep. 2019 Jan 29;9(1):848.
Tarca AL, Romero R, Gudicha DW, Erez O, Hernandez-Andrade E, Yeo L, Bhatti G, Pacora P, Maymon E, Hassan SS. A new customized fetal growth standard for African American women: the PRB/NICHD Detroit study. Am J Obstet Gynecol; 218(2S):S679-S91 e4, 2018.
Tarca AL, Lauria M, Unger M, Bilal E, Boue S, Kumar Dey K, Hoeng J, Koeppl H, Martin F, Meyer P, Nandy P, Norel R, Peitsch M, Rice JJ, Romero R, Stolovitzky G, Talikka M, Xiang Y, Zechner C, Collaborators ID. Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge. Bioinformatics;29(22):2892-9, 2013.
Tarca AL, Draghici S, Khatri P, Hassan SS, Mittal P, Kim JS, Kim CJ, Kusanovic JP, Romero R. A novel signaling pathway impact analysis. Bioinformatics;25(1):75-82, 2009.